Lori R. Arlinghaus
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- MRI in cancer diagnosis 34
- Radiomics and Machine Learning in Medical Imaging 24
- Advanced MRI Techniques and Applications 24
- Medical Imaging Techniques and Applications 19
- Advanced Neuroimaging Techniques and Applications 12
- Modeling and Simulation top 2%
- Mathematical Biology Tumor Growth 4
- Biophysics top 5%
- Cancer Research top 10%
- Breast Cancer Treatment Studies 4
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- Lanthanide and Transition Metal Complexes 6
- Co-authors
- Thomas E. YankeelovVandana G. AbramsonA. Bapsi ChakravarthyJohn C. GoreRichard G. AbramsonE. Brian WelchJaime FarleyIngrid M. Meszoely
- Partner nations
- United StatesRussiaSingapore
In The Last Decade
Lori R. Arlinghaus
56 papers receiving 1.7k citations
Peers
Comparison fields: 5 of 90
- Radiology, Nuclear Medicine and Imaging 1.4k
- Modeling and Simulation 126
- Biophysics 81
- Cancer Research 186
- Oncology 178
Countries citing papers authored by Lori R. Arlinghaus
This map shows the geographic impact of Lori R. Arlinghaus's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Lori R. Arlinghaus with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lori R. Arlinghaus more than expected).
Fields of papers citing papers by Lori R. Arlinghaus
This network shows the impact of papers produced by Lori R. Arlinghaus. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Lori R. Arlinghaus. The network helps show where Lori R. Arlinghaus may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Lori R. Arlinghaus, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 4 | |
| 2 | 2020 | 2 | |
| 3 | 2016 | 59 | |
| 4 | 2016 | 9 | |
| 5 | 2015 | 10 | |
| 6 | 2015 | 6 | |
| 7 | 2015 | 18 | |
| 8 | 2014 | 31 | |
| 9 | 2014 | 127 | |
| 10 | 2013 | 40 | |
| 11 | 2013 | 68 | |
| 12 | 2013 | 55 | |
| 13 | 2013 | 63 | |
| 14 | 2012 | 140 | |
| 15 | 2012 | 60 | |
| 16 | 2011 | 54 | |
| 17 | 2011 | 26 | |
| 18 | 2011 | 30 | |
| 19 | 2011 | 36 | |
| 20 | 2011 | 34 |
About Lori R. Arlinghaus
Lori R. Arlinghaus is a scholar working on Radiology, Nuclear Medicine and Imaging, Modeling and Simulation and Radiation, having authored 56 papers that have together received 1.7k indexed citations. Recurring topics across this work include MRI in cancer diagnosis (34 papers), Radiomics and Machine Learning in Medical Imaging (24 papers), Advanced MRI Techniques and Applications (24 papers), Medical Imaging Techniques and Applications (19 papers), Advanced Neuroimaging Techniques and Applications (12 papers), Lanthanide and Transition Metal Complexes (6 papers), Mathematical Biology Tumor Growth (4 papers) and Breast Cancer Treatment Studies (4 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (1.4k citations), Modeling and Simulation (126 citations) and Biophysics (81 citations). Lori R. Arlinghaus has collaborated with scholars based in United States, Russia and Singapore. Frequent co-authors include Thomas E. Yankeelov, Vandana G. Abramson, A. Bapsi Chakravarthy, John C. Gore, Richard G. Abramson, E. Brian Welch, Jaime Farley, Ingrid M. Meszoely, Jared A. Weis and Adrienne N. Dula. Their work appears in journals such as Journal of Clinical Oncology, Cancer Research and Radiology.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.